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Demucs (models)

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  1. .gitattributes +5 -0
  2. models/HTDemucs_Similarity_Extractor_by_wesleyr36/.gitattributes +35 -0
  3. models/HTDemucs_Similarity_Extractor_by_wesleyr36/config_htdemucs_similarity.yaml +144 -0
  4. models/HTDemucs_Similarity_Extractor_by_wesleyr36/model_htdemucs_ep_21_sdr_13.6970.ckpt +3 -0
  5. models/HTDemucs_Similarity_Extractor_by_wesleyr36/source.txt +1 -0
  6. models/ht-demucs/.gitattributes +35 -0
  7. models/ht-demucs/LICENSE +0 -0
  8. models/ht-demucs/README.md +5 -0
  9. models/ht-demucs/htdemucs_finetuned%20%281%29.pt +3 -0
  10. models/ht-demucs/htdemucs_finetuned.pt +3 -0
  11. models/ht-demucs/source.txt +1 -0
  12. models/htdemucs (pablebe)/.gitattributes +35 -0
  13. models/htdemucs (pablebe)/README.md +20 -0
  14. models/htdemucs (pablebe)/htdemucs_epoch=570-sdr=6.38.ckpt +3 -0
  15. models/htdemucs (pablebe)/source.txt +1 -0
  16. models/htdemucs-ort/.gitattributes +36 -0
  17. models/htdemucs-ort/htdemucs.ort +3 -0
  18. models/htdemucs-ort/manifest.json +26 -0
  19. models/htdemucs-ort/source.txt +1 -0
  20. models/htdemucs_ft/.gitattributes +39 -0
  21. models/htdemucs_ft/04573f0d-f3cf25b2.th +3 -0
  22. models/htdemucs_ft/92cfc3b6-ef3bcb9c.th +3 -0
  23. models/htdemucs_ft/README.md +3 -0
  24. models/htdemucs_ft/d12395a8-e57c48e6.th +3 -0
  25. models/htdemucs_ft/f7e0c4bc-ba3fe64a.th +3 -0
  26. models/htdemucs_ft/htdemucs_ft.yaml +7 -0
  27. models/htdemucs_ft/source.txt +1 -0
.gitattributes CHANGED
@@ -79,3 +79,8 @@ models/demucs[[:space:]](therealvul)/SFX_separation_epoch_190.th filter=lfs diff
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  models/demucs[[:space:]](therealvul)/SFX_separation_epoch_60.th filter=lfs diff=lfs merge=lfs -text
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  models/demucs[[:space:]](therealvul)/SFX_separation_v2_epoch_338.th filter=lfs diff=lfs merge=lfs -text
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  models/demucs[[:space:]](therealvul)/styletts2_enhance_checkpoint_epoch_1.th filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
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  models/demucs[[:space:]](therealvul)/SFX_separation_epoch_60.th filter=lfs diff=lfs merge=lfs -text
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  models/demucs[[:space:]](therealvul)/SFX_separation_v2_epoch_338.th filter=lfs diff=lfs merge=lfs -text
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  models/demucs[[:space:]](therealvul)/styletts2_enhance_checkpoint_epoch_1.th filter=lfs diff=lfs merge=lfs -text
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+ models/htdemucs-ort/htdemucs.ort filter=lfs diff=lfs merge=lfs -text
models/HTDemucs_Similarity_Extractor_by_wesleyr36/.gitattributes ADDED
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models/HTDemucs_Similarity_Extractor_by_wesleyr36/config_htdemucs_similarity.yaml ADDED
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+ audio:
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+ chunk_size: 132300 # samplerate * segment
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+ min_mean_abs: 0.001
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+ hop_length: 1024
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+
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+ training:
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+ batch_size: 5
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+ gradient_accumulation_steps: 3
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+ grad_clip: 0
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+ segment: 3
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+ shift: 1
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+ samplerate: 44100
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+ channels: 2
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+ normalize: true
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+ instruments: ['similarity', 'difference']
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+ target_instrument: null
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+ num_epochs: 1000
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+ num_steps: 1000
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+ optimizer: prodigy
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+ lr: 1.0
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+ patience: 80
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+ reduce_factor: 0.95
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+ q: 0.95
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+ coarse_loss_clip: true
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+ ema_momentum: 0.999
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+ other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
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+ use_amp: false # enable or disable usage of mixed precision (float16) - usually it must be true
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+
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+ augmentations:
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+ enable: false # enable or disable all augmentations (to fast disable if needed)
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+ loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
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+ loudness_min: 0.5
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+ loudness_max: 1.5
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+ mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
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+ mixup_probs: [0.2, 0.02]
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+ mixup_loudness_min: 0.5
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+ mixup_loudness_max: 1.5
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+
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+ inference:
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+ num_overlap: 4
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+ batch_size: 18
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+
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+ loss_multistft:
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+ fft_sizes:
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+ - 2048
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+ - 4096
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+ hop_sizes:
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+ - 1024
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+ - 2048
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+ win_lengths:
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+ - 2048
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+ - 4096
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+ window: "hann_window"
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+ scale: "mel"
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+ n_bins: 128
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+ sample_rate: 44100
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+ perceptual_weighting: true
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+ w_sc: 1.0
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+ w_log_mag: 1.0
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+ w_lin_mag: 0.0
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+ w_phs: 0.0
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+ mag_distance: "L1"
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+
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+ model: htdemucs
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+
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+ htdemucs: # see demucs/htdemucs.py for a detailed description
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+ # Channels
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+ channels: 48
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+ channels_time:
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+ growth: 2
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+ # STFT
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+ num_subbands: 1
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+ nfft: 4096
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+ wiener_iters: 0
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+ end_iters: 0
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+ wiener_residual: false
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+ cac: true
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+ # Main structure
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+ depth: 4
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+ rewrite: true
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+ # Frequency Branch
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+ multi_freqs: []
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+ multi_freqs_depth: 3
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+ freq_emb: 0.2
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+ emb_scale: 10
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+ emb_smooth: true
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+ # Convolutions
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+ kernel_size: 8
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+ stride: 4
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+ time_stride: 2
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+ context: 1
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+ context_enc: 0
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+ # normalization
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+ norm_starts: 4
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+ norm_groups: 4
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+ # DConv residual branch
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+ dconv_mode: 3
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+ dconv_depth: 2
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+ dconv_comp: 8
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+ dconv_init: 1e-3
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+ # Before the Transformer
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+ bottom_channels: 512
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+ # CrossTransformer
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+ # ------ Common to all
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+ # Regular parameters
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+ t_layers: 5
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+ t_hidden_scale: 4.0
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+ t_heads: 8
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+ t_dropout: 0.0
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+ t_layer_scale: True
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+ t_gelu: True
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+ # ------------- Positional Embedding
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+ t_emb: sin
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+ t_max_positions: 10000 # for the scaled embedding
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+ t_max_period: 10000.0
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+ t_weight_pos_embed: 1.0
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+ t_cape_mean_normalize: True
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+ t_cape_augment: True
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+ t_cape_glob_loc_scale: [5000.0, 1.0, 1.4]
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+ t_sin_random_shift: 0
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+ # ------------- norm before a transformer encoder
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+ t_norm_in: True
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+ t_norm_in_group: False
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+ # ------------- norm inside the encoder
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+ t_group_norm: False
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+ t_norm_first: True
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+ t_norm_out: True
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+ # ------------- optim
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+ t_weight_decay: 0.0
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+ t_lr:
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+ # ------------- sparsity
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+ t_sparse_self_attn: False
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+ t_sparse_cross_attn: False
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+ t_mask_type: diag
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+ t_mask_random_seed: 42
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+ t_sparse_attn_window: 400
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+ t_global_window: 100
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+ t_sparsity: 0.95
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+ t_auto_sparsity: False
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+ # Cross Encoder First (False)
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+ t_cross_first: False
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+ # Weight init
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+ rescale: 0.1
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+
models/HTDemucs_Similarity_Extractor_by_wesleyr36/model_htdemucs_ep_21_sdr_13.6970.ckpt ADDED
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+ size 168122809
models/HTDemucs_Similarity_Extractor_by_wesleyr36/source.txt ADDED
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+ https://huggingface.co/jarredou/HTDemucs_Similarity_Extractor_by_wesleyr36
models/ht-demucs/.gitattributes ADDED
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models/ht-demucs/LICENSE ADDED
File without changes
models/ht-demucs/README.md ADDED
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+ ---
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+ license: other
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+ license_name: facebook
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+ license_link: LICENSE
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+ ---
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@@ -0,0 +1 @@
 
 
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+ https://huggingface.co/raddhuha/HT-Demucs
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models/htdemucs (pablebe)/README.md ADDED
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+ ---
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+ license: mit
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+ ---
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+ # Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation
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+ This repository contains the model checkpoint for the HTDemucs model trained from scratch for the WASPAA 2025 paper "Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation" by Paul A. Bereuter, Benjamin Stahl, Mark D. Plumbley and Alois Sontacchi.
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+
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+
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+ ## Cite This Work:
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+ If you use this model checkpoint please cite us with:
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+ ```bib
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+ @misc{bereuter2025,
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+ title={Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation Models},
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+ author={Paul A. Bereuter and Benjamin Stahl and Mark D. Plumbley and Alois Sontacchi},
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+ year={2025},
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+ eprint={2507.11427},
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+ archivePrefix={arXiv},
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+ primaryClass={eess.AS},
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+ url={https://arxiv.org/abs/2507.11427},
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+ }
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+ ```
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